PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-07-24 10:23:59.285052+00:00 (UTC)
In US/Central Time, this is 2024-07-24 05:23:59.285052-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/88c8cf1030a73f5bf9be5de80b9d7c0b34a774be68df0d253269abe37ef1ac26.png
We are just generating a random time serie here.
../_images/95bbea82c0d41a641e23b6d11997646db6d1a87cdfe4fbac344848e5c8a63c3b.png
../_images/6df98275c3bc7da262b40b77dac2734b790f67dbe06f0e0d9bf8f3cbe2011b08.png